Individualized Functional Brain System Topologies and Major Depression: Relationships Among Patch Sizes and Clinical Profiles and Behavior.

BACKGROUND: Neuroimaging studies of major depression have typically been conducted using group-level approaches. However, given interindividual differences in brain systems, there is a need for individualized approaches to brain systems mapping and putative links toward diagnosis, symptoms, and behavior. METHODS: We used an iterative parcellation approach to map individualized brain systems in 328 participants from a multisite, placebo-controlled clinical trial. We hypothesized that participants with depression would show abnormalities in salience, control, default, and affective systems, which would be associated with higher levels of self-reported anhedonia, anxious arousal, and worse cognitive performance. Within hypothesized brain systems, we compared patch sizes (number of vertices) between depressed and healthy control groups. Within depressed groups, abnormal patches were correlated with hypothesized clinical and behavioral measures. RESULTS: Significant group differences emerged in hypothesized patches of 1) the lateral salience system (parietal operculum; t326 = -3.11, p = .002) and 2) the control system (left medial posterior prefrontal cortex region; z = -3.63, p < .001), with significantly smaller patches in these regions in participants with depression than in healthy control participants. Results suggest that participants with depression with significantly smaller patch sizes in the lateral salience system and control system regions experience greater anxious arousal and cognitive deficits. CONCLUSIONS: The findings imply that neural features mapped at the individual level may relate meaningfully to diagnosis, symptoms, and behavior. There is strong clinical relevance in taking an individualized brain systems approach to mapping neural functional connectivity because these associated region patch sizes may help advance our understanding of neural features linked to psychopathology and foster future patient-specific clinical decision making.

Real-Time Semi-Automated and Automated Voxel Placement using fMRI Targets for Repeated Acquisition Magnetic Resonance Spectroscopy.

BACKGROUND: Currently, magnetic resonance spectroscopy (MRS) is dependent on the investigative team to manually prescribe, or demarcate, the desired tissue volume-of-interest. The need for a new method to automate precise voxel placements is warranted to improve the utility and interpretability of MRS data. NEW METHOD: We propose and validate robust and real-time methods to automate MRS voxel placement using functionally defined coordinates within the prefrontal cortex. Data were collected and analyzed using two independent prospective studies: 1) two independent imaging days with each consisting of a multi-session sandwich design (MRS data only collected on one of the days determined based on scan time) and 2) a longitudinal design. Participants with fibromyalgia syndrome (N = 50) and major depressive disorder (N = 35) underwent neuroimaging. MRS acquisitions were acquired at 3-tesla. Evaluation of the reproducibility of spatial location and tissue segmentation was assessed for: 1) manual, 2) semi-automated, and 3) automated voxel prescription approaches RESULTS: Variability of voxel grey and white matter tissue composition was reduced using automated placement protocols. Spatially, post- to pre-voxel center-of-gravity distance was reduced and voxel overlap increased significantly across datasets using automated compared to manual procedures COMPARISON WITH EXISTING METHODS: Manual prescription, the current standard in the field, can produce inconsistent data across repeated acquisitions. Using automated voxel placement, we found reduced variability and more consistent voxel placement across multiple acquisitions CONCLUSIONS: These results demonstrate the within subject reliability and reproducibility of a method for reducing variability introduced by spatial inconsistencies during MRS acquisitions. The proposed method is a meaningful advance toward improved consistency of MRS data in neuroscience and can be utilized for multi-session and longitudinal studies.

The neuroscience of spirituality, religion, and mental health: A systematic review and synthesis.

Prior research highlights the importance of spirituality/religion (S/R) as it relates to several aspects of mental health and clinical interventions. This research has been expanded to include the concurrent examination of neurobiological correlates of S/R to elucidate potential biological mechanisms. However, the majority of neurobiological research on S/R has neglected mental health, and the relationship across all three of these domains (S/R, mental health, and neurobiology) remains unclear. This study systematically reviewed research concurrently examining S/R, mental health, and neurobiology, and rated the methodological quality of included studies. Eighteen identified studies were then included in an integrated literature review and discussion, regarding the neurobiological correlates of S/R as it pertains to depression, anxiety, alcohol/substance misuse, and psychosis. The majority of studies demonstrated moderate to high methodological quality. Findings highlight the need for additional studies in this area as well as research that includes validated assessment of S/R.

Culture, theory-of-mind, and morality: How independent and interdependent minds make moral judgments.

Although the investigation of the neural mechanisms of morality has increased in recent years, the neural underpinnings of cultural variations in judgments of morality is understudied. In this paper, we propose that the well-established cultural differences in two cognitive processes, consideration of mental state and causal attribution, would lead to differences in moral judgment. Specifically, North Americans rely heavily on the mental state of a protagonist and dispositional attributions, whereas East Asians focus more on situational attributions and place less emphasis on the mental state of a protagonist. These differences would be accounted for by activity in brain regions implicated in thinking about others' minds, or theory-of-mind (ToM), which would underlie the cultural shaping of moral judgment. This proposed cultural neuroscience approach may broaden the scope of morality research, better predict moral behavior, and reduce disparities in diverse groups' moral judgment.